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XAI—Explainable artificial intelligence, , , , , and . Science Robotics, (2019)Toward harnessing user feedback for machine learning., , , , , , , and . IUI, page 82-91. ACM, (2007)Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions., , , , , , , , , and 9 other author(s). CoRR, (2023)End-user feature labeling: a locally-weighted regression approach., , , , , , and . IUI, page 115-124. ACM, (2011)Design Methods for Artificial Intelligence Fairness and Transparency., , , , , , and . IUI Workshops, volume 2903 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)TExSS 22: Transparency and Explanations in Smart Systems., , , , , , and . IUI Companion, page 16-17. ACM, (2022)Horses For Courses: Making The Case For Persuasive Engagement In Smart Systems.. IUI Workshops, volume 2327 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition., , , , , , , , and . ICCV, page 10798-10808. IEEE, (2021)Predicting Task-Specific Webpages for Revisiting., , , and . AAAI, page 1369-1374. AAAI Press, (2006)Workshop on Trust and Reliance in AI-Human Teams (TRAIT)., , , , , , and . CHI Extended Abstracts, page 371:1-371:6. ACM, (2023)